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ORCIDZoltán Vidnyánszky
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2020 – today
- 2024
[j20]Andrea Medini, Zoltán Vidnyánszky:
Zero-dimensional σ-homogeneous spaces. Ann. Pure Appl. Log. 175(Issue 1, Part B): 103331 (2024)- [j19]Pál Vakli
, Béla Weiss, Dorina Rozmann, György Eross, Ádám Nárai, Petra Hermann, Zoltán Vidnyánszky:
The effect of head motion on brain age prediction using deep convolutional neural networks. NeuroImage 294: 120646 (2024) - 2023
- [j18]Pál Vakli, Béla Weiss, János Szalma, Peter Barsi, István Gyuricza, Péter Kemenczky, Eszter Somogyi, Ádám Nárai, Viktor Gál, Petra Hermann, Zoltán Vidnyánszky:
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics. Medical Image Anal. 88: 102850 (2023) - [i5]Tamás Kátay, László Márton Tóth, Zoltán Vidnyánszky:
The CSP Dichotomy, the Axiom of Choice, and Cyclic Polymorphisms. CoRR abs/2310.00514 (2023) - 2022
- [j17]Udayan B. Darji, Márton Elekes, Kende Kalina, Viktor Kiss, Zoltán Vidnyánszky:
The structure of random automorphisms of the random graph. Ann. Pure Appl. Log. 173(9): 103152 (2022) - [j16]Béla Weiss, Ádám Nárai, Zoltán Vidnyánszky:
Lateralization of early orthographic processing during natural reading is impaired in developmental dyslexia. NeuroImage 258: 119383 (2022) - [c7]Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky:
Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics. ITCS 2022: 29:1-29:26 - [i4]Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky:
Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees. CoRR abs/2204.09329 (2022) - 2021
- [j15]Raphaël Carroy, Benjamin D. Miller, Zoltán Vidnyánszky:
On the existence of small antichains for definable quasi-orders. J. Math. Log. 21(2): 2150005:1-2150005:10 (2021) - [j14]Petra Hermann, Béla Weiss, Balázs Knakker, Petra Madurka, Annamária Manga, Ádám Nárai, Zoltán Vidnyánszky:
Neural basis of distractor resistance during visual working memory maintenance. NeuroImage 245: 118650 (2021) - [i3]Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky:
Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics. CoRR abs/2106.02066 (2021) - [i2]Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky:
On Homomorphism Graphs. CoRR abs/2111.03683 (2021) - 2020
- [j13]Pál Vakli, Regina J. Deák-Meszlényi, Tibor Auer, Zoltán Vidnyánszky:
Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network. Frontiers Neuroinformatics 14: 10 (2020) - [j12]Benjamin D. Miller, Zoltán Vidnyánszky:
On the existence of Large Antichains for Definable quasi-Orders. J. Symb. Log. 85(1): 103-108 (2020) - [c6]Ádám Nárai, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss:
Predicting Reading Speed from Eye-Movement Measures. ICPR Workshops (3) 2020: 453-466 - [c5]János Szalma, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss:
Investigating the Effect of Inter-letter Spacing Modulation on Data-Driven Detection of Developmental Dyslexia Based on Eye-Movement Correlates of Reading: A Machine Learning Approach. ICPR Workshops (3) 2020: 467-481
2010 – 2019
- 2017
- [j11]Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky:
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. Frontiers Neuroinformatics 11: 61 (2017) - [i1]Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky:
Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture. CoRR abs/1707.06682 (2017) - 2016
- [c4]Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza:
A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC 2016: 203-208 - [c3]Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza:
Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO 2016: 245-249 - 2015
- [j10]Viktor Kiss, Zoltán Vidnyánszky:
Unions of Regular Polygons with Large Perimeter-to-Area Ratio. Discret. Comput. Geom. 53(4): 878-889 (2015) - 2014
- [j9]Mareike Grotheer, Petra Hermann, Zoltán Vidnyánszky, Gyula Kovács:
Repetition probability effects for inverted faces. NeuroImage 102: 416-423 (2014) - 2013
- [j8]Lajos R. Kozák, Szabolcs Dávid, Gábor Rudas, Zoltán Vidnyánszky, Alexander Leemans, Zoltán Nagy:
Investigating the need of triggering the acquisition for infant diffusion MRI: A quantitative study including bootstrap statistics. NeuroImage 69: 198-205 (2013) - [j7]Attila Andics, Viktor Gál, Klára Vicsi, Gábor Rudas, Zoltán Vidnyánszky:
FMRI repetition suppression for voices is modulated by stimulus expectations. NeuroImage 69: 277-283 (2013) - 2012
- [j6]Gyula Kovács, Lara Iffland, Zoltán Vidnyánszky, Mark W. Greenlee:
Stimulus repetition probability effects on repetition suppression are position invariant for faces. NeuroImage 60(4): 2128-2135 (2012) - [c2]Szilard Szalai, Tamás Szirányi, Zoltán Vidnyánszky:
Saliency map estimation by constructing graphs of possible eye-tracking paths. CogInfoCom 2012: 137-142 - 2011
- [c1]Szilard Szalai, Tamás Szirányi, Zoltán Vidnyánszky:
Tracking the Saliency Features in Images Based on Human Observation Statistics. MUSCLE 2011: 219-233 - 2010
- [j5]Attila Andics, James M. McQueen, Karl Magnus Petersson, Viktor Gál, Gábor Rudas, Zoltán Vidnyánszky:
Neural mechanisms for voice recognition. NeuroImage 52(4): 1528-1540 (2010)
2000 – 2009
- 2009
- [j4]Anna Lázár, Zoltán Vidnyánszky, Tamás Roska:
Modeling stimulus-driven attentional selection in dynamic natural scenes. Int. J. Circuit Theory Appl. 37(1): 3-30 (2009) - 2008
- [j3]Gyula Kovács, Csaba Cziraki, Zoltán Vidnyánszky, Stefan R. Schweinberger, Mark W. Greenlee:
Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas. NeuroImage 43(1): 156-164 (2008) - 2004
- [j2]Viktor Gál, József Hámori, Tamás Roska, Dávid Bálya, Zsolt Borostyánköi, Mátyás Brendel, Károly Lotz, Laszlo Négyessy, László Orzó, István Petrás, Csaba Rekeczky, József Takács, Péter L. Venetianer, Zoltán Vidnyánszky, Ákos Zarándy:
Receptive Field Atlas and Related CNN Models. Int. J. Bifurc. Chaos 14(2): 551-584 (2004)
1990 – 1999
- 1996
- [j1]Károly Lotz, Adam Jacobs, Joos Vandewalle, Frank S. Werblin, Tamás Roska, Zoltán Vidnyánszky, József Hámori:
Cellular neural network realizations of neuron models with diverse spiking patterns. Int. J. Circuit Theory Appl. 24(3): 301-314 (1996)
Coauthor Index
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